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Paper Citation Record · LEDGER

Adaptation and Fine-tuning with TabPFN for Travelling Salesman Problem

As of 9 August 2026, this Paper Citation Record lists 9 of 9 outbound references and 1 inbound Pith citation observation for arXiv:2511.05872.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2511.05872 v1

Coverage vector

measured 9 of 9 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T06:54:15.862750Z

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T06:59:14.626274Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-06-30T07:04:21.418057Z

Reference resolution

9 of 9 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 051419a2-3037-4c79-9d02-4161d9056be7 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Adaptation and Fine-tuning with TabPFN for Travelling Salesman Problem On the Opportunities and Risks of Foundation Models

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-04T06:54:15.824864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:54:15.824864Z digest=sha256:dd3cafe14b01d277ef6478324ba7e66289c92ff3fb533b535fb96269bed9811f

Observation b5d4886a-2631-48f9-a4a3-bf0cbc4c3069 · outbound

This paper cites An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem.

Adaptation and Fine-tuning with TabPFN for Travelling Salesman Problem An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-04T06:54:15.840674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:54:15.840674Z digest=sha256:ec8d527a2880af9d4a6f3c6cf35064bb008c48de929799330d2086466308f6d9

Observation dd4aba99-bd05-4ddd-b314-5bd855a912ff · outbound

This paper cites TIME: TabPFN-Integrated Multimodal Engine for Robust Tabular-Image Learning.

Adaptation and Fine-tuning with TabPFN for Travelling Salesman Problem TIME: TabPFN-Integrated Multimodal Engine for Robust Tabular-Image Learning

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-04T06:54:15.845389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:54:15.845389Z digest=sha256:f6e7dafaab1d309cf11ed7991f2e2e1af88017ac02ee4c1f39cfe6098cc3971b

Observation b56cf295-9cba-4199-8c6f-c228311e093a · outbound

This paper cites an unresolved cited work.

Adaptation and Fine-tuning with TabPFN for Travelling Salesman Problem Unresolved cited work

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-04T06:54:15.854816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:54:15.854816Z digest=sha256:360925699fef5af3f4fff96370b95588a4ea19b299b4ed6cbb4e9fa6e2738212

Observation 2cf589f1-e5bd-4e81-a14e-c33b9e47e4b4 · outbound

This paper cites an unresolved cited work.

Adaptation and Fine-tuning with TabPFN for Travelling Salesman Problem Unresolved cited work

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-04T06:54:15.834869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:54:15.834869Z digest=sha256:705987857101d4c18cfaa3529813498e2f9a24e70f8f1c5d161b1f0800552b1c

Observation 0b58b996-7e24-435d-b1f9-177b6899d321 · outbound

This paper cites an unresolved cited work.

Adaptation and Fine-tuning with TabPFN for Travelling Salesman Problem Unresolved cited work

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-04T06:54:15.849932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:54:15.849932Z digest=sha256:2eaada67d262f92db403be1fbf85472edb77c00e40b079244b5c574e87d0fe6d

Observation 655edffe-bda0-451e-94d4-6c690e343a07 · outbound

This paper cites an unresolved cited work.

Adaptation and Fine-tuning with TabPFN for Travelling Salesman Problem Unresolved cited work

Reference 120

Resolution
unresolved
no resolver link, observed 2026-08-04T06:54:15.858727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:54:15.858727Z digest=sha256:5148d61d55d790ff0ce3b9dc6692dfce781634da8f46bc2a9eaa5464aab5fc97

Observation fa30919e-21ee-4e4a-97d2-bf84b9220a95 · outbound

This paper cites J., & Lee, M.

Adaptation and Fine-tuning with TabPFN for Travelling Salesman Problem J., & Lee, M

Reference 130

Resolution
unresolved
no resolver link, observed 2026-08-04T06:54:15.830549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:54:15.830549Z digest=sha256:bd72b55be970532cddf3c49f9fe95eedc2da2c48d8a3bdb714d27f0b7766985f

Observation da6a709e-b0dc-401d-8dfa-e8de048d171e · outbound

This paper cites S., & Sun, L.

Adaptation and Fine-tuning with TabPFN for Travelling Salesman Problem S., & Sun, L

Reference 260

Resolution
unresolved
no resolver link, observed 2026-08-04T06:54:15.862750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:54:15.862750Z digest=sha256:021a9253060a88e1b25d9e13a1c4feffaa0b337466ebf98331b30c5d0d88f4ec

Pith citing papers

Observation 21000f57-aab6-4246-bcf5-c853e1fddbdc · inbound

Beyond IID: How General Are Tabular Foundation Models, Really? cites this paper.

Beyond IID: How General Are Tabular Foundation Models, Really? Adaptation and Fine-tuning with TabPFN for Travelling Salesman Problem

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-08-04T02:24:03.086483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T06:59:14.626274Z digest=sha256:59dc4f026460abfeb814130bd26864575c44dcccb343532fa6b6c05d103b74c5